Integrating Augmented Reality (AR) into bio-inspired vision research transforms how students learn, experiment, and innovate. Through immersive 3D simulations, interactive visual mapping, and AI-powered analytics, AR bridges the gap between biological vision science and engineered optical systems.
By experiencing hands-on AR-enhanced learning, the next generation of scientists and engineers will be better equipped to develop advanced bionic vision technologies, AI-driven robotic sensors, and augmented optical interfaces, shaping the future of bio-inspired innovation.
| Phase |
Description |
| Explore |
Introduction to the concept of Big Data: volume, variety, velocity. With the help of augmented reality (AR), students visualise how large data streams are collected, analysed and used in the real world.
Through immersive examples, they explore the difference between structured, semi-structured and unstructured data in AR, simulating the transformation of raw data into useful information.
They use 3D models and augmented concept maps to trace the main sources of data (digital devices, social media, sensors, online transactions).
Assessment of initial digital skills through AR quizzes and interactive workshops to tailor the teaching approach to students' prior knowledge.
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| Execute |
Design smart environments in AR (e.g. connected home, digital school), simulating data flows from sensors, actuators and mobile devices. Each group can modify parameters and measure the impact in real time.
Simulate in AR how data is transferred, stored and processed in the cloud. They represent simplified cloud architectures in 3D to understand the concepts of SaaS, PaaS and IaaS.
Analyse real or simulated data sets related to the Sustainable Development Goals (e.g. SDG 3 – Health, SDG 11 – Sustainable cities) and visualise them through AR graphs and dashboards. Each team proposes sustainable actions based on data analysis.
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| Enhance |
Interactive virtual environments (e.g. forests, coastal cities, power plants) to understand complex climate and energy systems.
Modify energy parameters in their AR models (e.g. change energy sources or building materials) and visualise the effects on emissions or thermal comfort in real time.
They accumulate points by solving interactive quizzes on the causes, effects and solutions of climate change and complete group design challenges, advancing to higher levels in the design of sustainable energy systems.
3D models with enhanced AR, answer dynamic quizzes and reflect on the future role of augmented reality in scientific, environmental and engineering understanding.
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